“Qianwen is a resourceful, hard working and smart engineer. Using Google Analytics she implemented user tracking on our Ember JS website and React Native mobile app. She joined us fresh out of school and within a couple on months started independently working on the project. It involved lots of discussion with product managers, UX and architects. She is a fun person to be around and a good team player. Keep smiling!!”
About
Email: [email protected]
Cell: 408-2396717
- Extensive experience with…
Activity
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How Joe Coulombe started and built Trader Joe's...
How Joe Coulombe started and built Trader Joe's...
Liked by Qianwen Xie
Experience
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Education
Publications
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A sequential method using multiplicative extreme learning machine for epileptic seizure detection
Neurocomputing SCI indexed
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Quasilinear Extreme Learning Machine Model Based Internal Model Control for Nonlinear Process
Mathematical Problems in Engineering SCI indexed
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Quasilinear Extreme Learning Machine Model Based Nonlinear System Identification
Proceedings of ELM-2014 Volume 1
Projects
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MarketPlace (Angular.js, Bootstrap, MySQL, Apache)
See project- Designed and developed marketplace shopping website over different individual companies.
● Created RESTful API to handle asynchronous XMLHttpRequest using PHP and MySQL.
● Deployed to Amazon EC2 with 100 QPS and tested using Apache JMeter.
● Designed and developed interactive website using HTML5, CSS3 and JavaScript(Angular, jQuery).
● Implemented recent history caching, top reviewed/ranked products ordering and third-party login/registration. -
Game Design with Greenfoot (Java, AWS EC2, Docker)
- Designed and developed algorithm game for cs unplugged program.
● Designed and implemented quicksort game using Java programming software Greenfoot.
● Developed game theory using UML sketching, OOP module and design pattern (such as decorator, state, builder etc.)
● Carried out client side API and Google App Engine server platform to enable multiplayer with top ranking system.Other creators -
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Ourpets Website (HTML5, CSS3, Javascript, jQuery, PHP, MySQL)
See project- Designed and developed pets website including.
● Implemented back end using MySQL and PHP.
● Developed front end using HTML5, CSS3, Javascript, jQuery, AJAX.
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EEG Signal Classification (Java, ML-Deep Learning)
See project- This project was published on NeuroComputing, 2016.
● Completed epilepsy EEG signal classification achieving 99.8% accuracy.
● Implemented deep-learning neural network algorithm to classify nonlinear signals using Java.
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Million Face Recognition (Java, OpenCV)
● Responsible for one million face images recognition using Java and OpenCV.
● Completed 76 points annotation for 10,000 high resolution images.
Honors & Awards
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National Scholarship (Top 1%)
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Recommendations received
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